Summary
A free Chromium-based Mac browser that automates web tasks using a local model and requests confirmation before sending.
About
Tomato combines web browsing with locally run AI task automation, aiming to reduce reliance on separately provisioned browser agents while keeping page data on the user's Mac.
Tomato is a Chromium-based browser for Mac that can plan and perform actions across browser tabs, including clicking and typing. Users can invoke it with Option-Space or by saying “Hey Tomato.” Its model runs locally on the Mac, keeping pages on the device. Before sending information, the browser pauses to request confirmation. Users may also provide their own Claude or ChatGPT key. The product is described as free.
Key Features
Chromium-based browser for Mac
Voice or Option-Space invocation
Plans and performs clicks and typing across tabs
Runs its model locally on the Mac
Requests confirmation before sending information; supports optional user-provided Claude or ChatGPT keys
Real-World Use Cases
Routine browser task automation
Automate repetitive sequences of clicks and text entry across browser tabs, with user confirmation before information is sent.
Voice-initiated web workflows
Start browser tasks through a spoken command or keyboard shortcut, which may help users who prefer hands-free or rapid task initiation.
On-device handling of web pages
Use local model processing for browser tasks where keeping page content on the Mac is a priority.
Business Opportunities
Reduce repetitive administrative work
Problem: Staff may spend time navigating websites and entering information across multiple tabs.
Solution: Use browser automation to plan and execute clicks and typing, while retaining a confirmation step before sending.
Estimated ROI: Potentially positive when repetitive browser work is frequent; actual returns depend on task volume, reliability, and review time.
Execution: Identify recurring browser workflows, test them with human review at the send step, and measure time saved and task accuracy.
Privacy-conscious browser assistance
Problem: Some users are reluctant to send page content to remote services when automating web tasks.
Solution: Evaluate local model execution for browser workflows where keeping pages on the Mac is important.
Estimated ROI: Primarily operational and risk-related; financial impact depends on avoided manual work and the value of local processing.
Execution: Pilot with non-critical workflows, verify that local processing meets organizational requirements, and retain user confirmation for outbound actions.